dart-memory
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ChineseMemory Management
内存管理
Mobile devices have limited RAM. Efficient memory management is critical to prevent crashes and ensure a smooth user experience.
移动设备的RAM有限。高效的内存管理对于防止崩溃和确保流畅的用户体验至关重要。
Resource Lifecycle
资源生命周期
- Explicit Disposal: Always close ,
StreamController,Timer, andFocusNodein theChangeNotifiermethod.dispose() - Late Initialization: Use to delay object creation until it's actually needed, reducing initial memory footprint.
late
- 显式释放:务必在方法中关闭
dispose()、StreamController、Timer和FocusNode。ChangeNotifier - 延迟初始化:使用关键字延迟对象创建,直到实际需要时再初始化,从而减少初始内存占用。
late
Garbage Collection (GC) Pressure
垃圾回收(GC)压力
- Generational GC: Dart's GC is optimized for short-lived objects. However, creating thousands of objects in a single frame can still cause jank.
- Object Re-use: Avoid creating new objects in or high-frequency loops. Reuse data structures where possible.
build() - Large Collections: Clearing a large list () is better than re-assigning it to a new list if the list itself is long-lived.
list.clear()
- 分代GC:Dart的GC针对短生命周期对象进行了优化。但在一帧内创建数千个对象仍可能导致卡顿。
- 对象复用:避免在方法或高频循环中创建新对象。尽可能复用数据结构。
build() - 大型集合:如果列表本身是长生命周期的,清空大型列表()比重新赋值为新列表更好。
list.clear()
Mobile Specifics
移动平台特性
- Isolates: Use for heavy computations (JSON parsing > 1MB, image processing). This keeps the main thread free and prevents UI freezes.
Isolate.run() - Image Memory: Use and
cacheWidthincacheHeightorImage.networkto avoid loading high-resolution images into memory at full size.Image.asset - Memory Leaks: Use the DevTools Memory View to identify "leaking" objects that stay in the heap after their context (like a screen) is closed.
- Isolate:对于繁重计算(解析大于1MB的JSON、图像处理),使用。这能让主线程保持空闲,避免UI冻结。
Isolate.run() - 图片内存:在或
Image.network中使用Image.asset和cacheWidth,避免将高分辨率图片以全尺寸加载到内存中。cacheHeight - 内存泄漏:使用DevTools的内存视图来识别在上下文(如某个页面)关闭后仍留在堆中的“泄漏”对象。
Large Data Handling
大型数据处理
- Pagination: Never load entire datasets into memory. Use server-side or local database pagination (Isar, SQLite).
- Streaming: For large files or real-time data, use to process data in chunks rather than buffering the entire content in memory.
Stream
- 分页:切勿将整个数据集加载到内存中。使用服务端或本地数据库分页(Isar、SQLite)。
- 流式处理:对于大型文件或实时数据,使用以分块方式处理数据,而非将全部内容缓冲到内存中。
Stream